Hard Coating is Because of Oppositely Worked Force-Energy Behaviors of Atoms
Bibliographic record
Abstract
Coatings of suitable materials having thickness of few atoms to several microns on the viable substrates are the basic need of society and they attend the regular attention of scientific community working in various fields of science and technology. Decorative and protective coatings, transparent and insulating coatings, coatings of medical implants and surgical instruments, coatings for drug delivery and security purposes, ultra-precision machine coatings and coatings of miscellaneous uses are in the routine demand of research and commercial objectives. Different hard coatings develop with significant composition of differently natured atoms where their force-energy behaviors under recovering of certain transition state provide the provision for electrons (of outer ring) belonging to gas atoms to undertake another clamp of energy knot, in each case, clamping to unfilled states (of outer ring) belonging to solid atoms. Set process conditions switch force-energy behaviors of differently natured atoms as per at the ground surface where they nearly worked oppositely to the original state behaviors. Different natured atoms develop structure in the form of hard coating by locating the ground point between original points where gas atoms increase potential energy under the decreasing levitational force exerting at electron levels while the solid atoms decrease potential energy under the decreasing gravitational force exerting at electron levels. Ti-atom to Ti-atom binding is through the difference of expansion of their lattices when one atom is just landing on the landed atom where the position of nitrogen atoms (dealing double clamping of their electrons) becomes nearly in their interstitial sites. Under suitable set parameters, different nature atoms deposit in the form of coating at substrate surface positioned in the deposition chamber. In random arc-based vapor deposition system, depositing different nature atoms at substrate surface depends on the input power where involved non-conserved energies engaged the non-conservative forces to keep them adhered. Different properties and characteristics of hard coatings emerged as per engaged forces under the set conditions of involved energy. The present study sets new trends not only in the field of films and coatings but also in the diversified class of materials, wherever, atoms recall their roles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".